Search Experience Optimization
Search Experience Optimization is a user experience optimization method that specifically enhances the effectiveness, efficiency, and satisfaction of users interacting with search systems through the systematic refinement of query interpretation, result relevance, and interface responsiveness.
15
Publications
743
Citations
47
Authors
21
Institutions
Publications per year
2017–2026
5
Parents
15
Time-sensitive query auto-completion
Milad Shokouhi, Kira Radinsky · 2012 · 145 citations
A framework for robust discovery of entity synonyms
Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng et al. · 2012 · 53 citations
1–5 of 15
47
1
h-index
1
h-index
1
h-index
1
h-index
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h-index
1–5 of 47
21
Microsoft (United States)
Redmond, United States
3 h-index
5 publications
317 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
1 h-index
1 publications
145 citations
Henan Institute of Technology
Xinxiang, China
1 h-index
5 publications
200 citations
Google (United States)
Mountain View, United States
1 h-index
1 publications
53 citations
Brown University
Providence, United States
1 h-index
2 publications
26 citations

Rice University
Houston, United States
1 h-index
1 publications
13 citations
The University of Texas at Austin
Austin, United States
1 h-index
1 publications
50 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
1 publications
196 citations
1–8 of 21
2 publications · 235 citations
2
h-index
1 publications · 40 citations
1
h-index
JWL · 1 publications · 13 citations
1
h-index
1 publications · 50 citations
1
h-index
1 publications · 11 citations
1
h-index
1–5